Graphs showing the qPCR data from SD, ED, HFD and SDG larvae at 7 dpf (n = 6 for each). by Jessica C. M. Hui (20370522)

Quantification of fasting glucose, random glucose, and insulin levels. by Jessica C. M. Hui (20370522)

Measurements of body mass index (BMI) and adipose deposits. by Jessica C. M. Hui (20370522)

Mas Receptor Phosphorylation and its-mediated Effects in Renal Cortex of WKY Rats and SHRs. by Lin Chen (54305)

S1 File - by Kimesh Loganathan Naidoo (19697486)

“…Of the 45 015 admissions analysed, 1237(2·75%) demised with significant decreases in admissions during all the lockdown levels, with the most significant mean monthly decrease of 450(95%, CI = 657·3, -244·3) p<0·001 in level 5 (the most severe) lockdown. …”

Role of YAP/TAZ in FAT1-regulated HNSCC growth. by Rui Li (4631)

Box plot of queens and males in the young colony (left) and old colony (right) A-B compares the queens and males distribution in the young and old colonies, respectively. by Moïse Pierre Exélis (21578515)

Restoration of <i>S</i>. Paratyphi A L O-ag reduces VL O-ag production and impacts IgM binding. by Fermin E. Guerra (6084545)

The phosphorylation of Mas receptor and its induced-effects in <i>hGRK4</i> <i>γ</i> WT and 142V transgenic mice. by Lin Chen (54305)

FAT1 and MIB2 control tumor growth <i>in vivo.</i> by Rui Li (4631)

Vps34 orchestrates Treg function in vivo. by Erienne G. Norton (9612079)

<i>rfbV</i> gene triplication in S. Paratyphi A increases VL O-ag production and reduces C3b deposition. by Fermin E. Guerra (6084545)

“…Statistical analysis was performed by one sample t test with a hypothetical value of 1.0, with P values in red indicating statistical significance as P < 0.05. Column bars represent the mean with error bars showing standard deviation. …”

Microbiome-host genetic association. by Tamizhini Loganathan (18538349)

“…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …”

Summary description of the samples. by Tamizhini Loganathan (18538349)

“…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …”

Targeting of Vps34 reduces B16F10 tumor growth and working model for Vps34-dependent regulation of eTreg transitional heterogeneity and maintenance. by Erienne G. Norton (9612079)

Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Counting results on DRPD dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Main module structure. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”